Results 111 to 120 of about 18,450 (186)
Abstract Traditionally, pharyngeal cancer was detected at an advanced stage, as examinations were usually performed only after symptoms such as pain or dysphagia appeared. Consequently, it was considered a malignancy with a poor prognosis. However, recent advances in image‐enhanced endoscopy (IEE) have facilitated the early detection of superficial ...
Daisuke Kikuchi +4 more
wiley +1 more source
Abstract Objective To develop and externally validate a computer‐aided diagnosis (CADx) model using artificial intelligence (AI) for classifying laryngeal lesions from laryngoscopy images into high‐risk (HR), low‐risk (LR). Study design Retrospective multicenter development of a CADx model and external validation on independent cohorts.
Claudio Sampieri +16 more
wiley +1 more source
Skin adverse events (AEs) frequently accompany all types of anticancer treatments. This publication discusses how recent international guidance on best‐practices use of dermocosmetics can be adapted to the North Asia region (China, Hong Kong, Japan, Republic of Korea, and Taiwan).
Meng Pan +9 more
wiley +1 more source
Tirbanibulin 1% real‐world use in 679 actinic keratoses patients during warm season (SUMM‐AK study)
Journal of the European Academy of Dermatology and Venereology, EarlyView.
A. Carugno +48 more
wiley +1 more source
Biomolecular Changes Upon Ablative Laser Therapy of the Skin: A Scoping Review
(Fractional) ablative laser therapy results in a wound healing response characterized by an inflammatory phase, dermal matrix degradation, and remodeling, collagenesis and elastogenesis. This is characterized by an increase in metalloproteinases, collagen type I, III, VII, and tropoelastin.
Marie‐Eline Pauline Henriette Debeuf +4 more
wiley +1 more source
Skin Cancer Recognition using Deep Residual Network
The advances in technology have enabled people to access internet from every part of the world. But to date, access to healthcare in remote areas is sparse. This proposed solution aims to bridge the gap between specialist doctors and patients.
Nagarajan, Dr. Sureshkumar, Rokad, Brij
core
ABSTRACT The high nominal accuracy achieved by deep learning models in predicting malignant skin lesions is frequently undermined by their susceptibility to operational uncertainty. Image acquisition conditions, such as lighting, device settings, and skin characteristics, introduce variations in optical parameters that compromise the model's ...
Giulia Vannucci +2 more
wiley +1 more source
What's new? Oral cancer burden is high in India. Risk stratification for selection of high‐risk individuals could enable early detection through efficient screening programs. We conducted a cross‐sectional screening study in Northeast India to develop and validate an oral precancer/cancer risk prediction model.
Kunal Oswal +17 more
wiley +1 more source

